Performance Analysis Of Energy Efficiency And Delay In Wireless Virtual Network

Massive access requests for mobile devices and the explosive growth in demand for mobile services poses serious challenges to the current mobile network.Therefore,the fifth generation of mobile networks has emerged.The management and coordination between heterogeneous networks,applications,and user requirements requires that the fifthgeneration mobile network should be open and flexible.So,WNV(Wireless Network Virtualization)technology has been proposed,and it has attracted great attention from the academic community and the business community with its many advantages.WNV enables abstraction,integration,and sharing of infrastructure and wireless spectrum resources,which improves the flexibility of network management and significantly reduces the overall expenditure on the deployment and operation of wireless networks.In addition,by isolating a portion of the network,WNV provides a more convenient way for product updates and technology evolution.On the one hand,the increasing global carbon dioxide emissions have a negative impact on human life.At the same time,spectrum resources are scarce,and the operator is looking forward to seeking a more effective solution to reduce network costs.Therefore,future mobile communication systems need to consider the cost of energy consumption while ensuring reliable transmission.On the other hand,users are subscribers to network services.A high-quality user service experience is also a major factor that needs to be considered in network design.Delay is an important indicator to measure user service experience.In addition,in a traditional cellular network,physical base stations cannot be changed after deployment,and fixed network deployment cannot achieve global optimization of resources,resulting in insufficient network utilization.WNV provides an effective solution for flexible and efficient network deployment.WVNs(Wireless Virtualization Network)can be created or destroyed at any time.That is,the virtualization network can change the network deployment strategy at any time according to the network resource conditions and the user's specific Qo S(Quality of Service)requirements to improve resource utilization and network energy efficiency.Therefore,it is necessary to control the resource allocation and network deployment of the virtual network from the perspective of delay and energy efficiency.In order to solve the above problems,this paper mainly makes the following contributions:Firstly,the restriction mechanism between energy efficiency and delay in WVNs is studied,and a dynamic virtual power resource allocation method is proposed.First of all,a downlink communication model is established with WNV.Different from the traditional wireless networks,multiple base stations can share all infrastructure resources and wireless network resources of the physical network,and can jointly handle user services.And further maximize the energy efficiency of the virtual network through power control while satisfying the user's Qo S requirements.In this paper,the problem is modeled as a time-constrained energy efficiency optimization problem.After being transformed by the fractional programming theory and Lyapunov optimization theory,the problem is solved by the Lagrangian multiplier method.Then,the theoretical boundary of network energy efficiency and delay is obtained through theoretical derivation.Finally,simulations verify the effectiveness of the proposed method and the constraints of delay and energy efficiency in WVNs.Secondly,the restriction mechanism between rate and delay for radio access network slice is studied,and a dynamic virtual base station deployment method is designed.Considering the diversity of services and the unpredictability of user behavior,as well as the flexible and efficient networking of wireless virtualization networks,this paper introduces random geometric theory to model the distribution of virtual base stations and users.Then,a RAN(Radio Access Network)slice framework is explored to meet the user's Qo S requirements while realizing the deployment control of the virtual network by maximizing the rate of RAN slices,and modeling the delay-constrained rate optimization problem.This problem was transformed and solved using the Lyapunov optimization theory.After that,this paper analyzes the rate and delay performance of RAN slices in the virtualized network,and derives the theoretical boundary of rate and delay,and analyzes the relationship between them.Finally,the validity of the designed method and the performance of the rate and delay are verified by simulation.